Kumar Rahul

Passionate about identifying pattern in randomness!!!

Machine Learning using R

One will need R software and may need RStudio or Jupyter Notebook to work on data science project using R. The installations and repositories for working with R software are as below:

Installation - R with R Studio

One should have latest version of R and R Studio installed on their system. First Install R and then R Studio. Latest version of the software can be found at:

  • Download and install the operating sysytem specific version of R software from this link.
  • RStudio can be downloaded here. Once the download completes, install RStudio as well.

Post the successful installation, you can launch RStudio to work in data analysis projects. RStudio interface looks like:

image

Note that, R software installation will be needed before one can work on data analysis using R Studio.

Installation - R with Anaconda

RStudio may not be needed if using jupyter notebook. Anaconda with jupyter notebook can also be used to work with R software.

  • Install operating system specific version of Anaconda. One may avoid the full installation of anaconda framework and can directly install Jupyter Notebook or Jupyter Lab. Follow the steps mentioned here to have Jupyter Notebook/Lab installed in your machine.
  • Install operating system specific version of R software.
  • open R console in windows (or open R console through Terminal in Mac). Enter the below command:
##install the IR kernel
> install.packages('IRkernel’) 
## Invoke the package
> library(IRkernel)
## Make Jupyter Notebook point to the R kernel
> IRkernel::installspec()

The above commands were tested in MacOs Big Sur 11.0.1:

image image

Now you can open Jupyter Notebook and you can write your R script by using R kernel. One is expected to resolve installation issues of the software, if any. You may google about the installation issues and resolution may follow.

Repository

  • R software for statistical analysis is yet another popular langauge for working on data science project. Here is the link to download the repository for Machine learning using R.
  • Download the repository for data visualization and programming with R from this link.